Dr. Rodney Martinez Alonso

INTEC-WAVES Ghent University (Belgium) and LACETEL (Cuba)

Multi-Objective Optimization of Dynamic Spectrum Access Networks

Rodney Martinez Alonso was born in 1987 in Havana, Cuba. In 2010, he obtained a B.Sc. degree in Telecommunications and Electronics Engineering and a in 2015 a M.Sc. degree on Digital Systems from the Higher Polytechnic Institute CUJAE, Havana, Cuba. Since 2010, he is a fellow researcher at LACETEL, Research and Development Telecommunications Institute. He also has collaborated on broadcasting engineering projects with industrial manufacturers from China. In 2016 he joined WAVES group (Department of Information Technology – INTEC, Ghent University) where his main research has focused on dynamic spectrum access technologies. This work lead to a PhD degree on Electrical Engineering from Ghent University in June 2020. Currently he is a post-doctoral researcher at Ghent University (Belgium) and LACETEL (Cuba).

ResearchGate: https://www.researchgate.net/profile/R_Martinez_Alonso/research

Abstract: The lack of spectrum availability for satisfying the exponential increase in wireless services demand has become an important concern in the wireless communication community. Paradoxically, several spectrum measurements campaigns have demonstrated that most of the spectrum is not in use or is sub-utilized. These surveys for different spectrum bands show that less than 20% of the spectrum is used at any given location and instant of time. The allocation of spectrum at higher frequency bands has a significant impact on the network investment and operational cost compared to the same technological solution at lower spectrum bands. The improvement of technologies’ spectral efficiency has helped to cope with the inefficient static allocation of spectrum. However, there is not a wide margin for improving the spectral efficiency of communication technologies, considering that the state-of-the-art of radio technologies are just 1 dB from the Shannon limit. Hence, the main problem with spectrum scarcity is not related to the technology efficiency itself but how to use it efficiently.

Dynamic spectrum management might have a higher impact on the efficient exploitation of the spectrum. Cognitive radio has become a flexible solution to overcome spectrum scarcity by opportunistically exploiting the spectrum. Cognitive radio technologies allow dynamic access of the spectrum, by sensing, detecting and allocating empty portions of the spectrum. Television White Space (TVWS) technologies have been a leading technology in the field of dynamic spectrum access. TVWS technologies have taken advantage of the excellent propagation conditions in the Ultra High Frequency (UHF) band for providing cost-effective wireless connectivity solutions in rural and suburban underserved areas (e.g., Microsoft Airband Initiative). Beside TVWS applications, manufacturers like CISCO are using dynamic access technologies for managing the spectrum assignment in Wireless Local Area Networks based on WiFi. Similarly, Ericsson 5G platform will dynamically allocate the spectrum for 4G and 5G users.

In this context, we developed a multi-objective optimization algorithm for dynamic spectrum access networks based on cognitive radio technology. Pareto modelling is realized for quantifying the trade-off among three Key Performance Indicators (KPIs): power consumption, spectrum utilization, and global network exposure. Instead of the traditional distributed architecture for the spectrum management, a cloud-based architecture is considered in our network planning. Compared to the traditional cognitive radio network, the proposed architecture and optimization algorithm reduced the network power consumption by 27.5%, the average network global exposure by 34.3%, and spectrum utilization by 34.5% for the best trade-off among the three KPIs. The interference to the primary service is also reduced at least by 27% in rural and suburban areas. The centralized architecture also allows the coexistence of heterogeneous networks with different physical and medium access control layers, as the information exchange occurs in a higher layer.

Dr. Eduardo Garro Crevillen

Universitat Politecnica de Valencia (Spain)

iNGENIOUS: Next Generation IoT for the Next-Generation Supply Chain

Eduardo Garro received the M.Sc. and PhD degrees in telecommunications engineering from the Universitat Politecnica de Valencia, Spain, in 2013 and 2018, respectively. He is an R&D Engineer with Institute of Telecommunications and Multimedia Applications (iTEAM), where he participated on the standardization, planning and optimization of DVB-T2 and ATSC 3.0 networks. He was leading the 5G point-to-multipoint air interface design within the 5G PPP project 5G-Xcast, and also participated in the IMT-2020 evaluation of 5G. His research activities are focused on 5G-IoT radio and core network accesses. He was awarded with the Best Student Paper Award at 2018 IEEE BMSB Symposium and 2020 Best Paper in IEEE Transactions on Broadcasting.

ResearchGate: https://www.researchgate.net/profile/Eduardo_Garro

Abstract: In the last 10 years, Internet of Things (IoT) is deeply transforming every sector subject to be digitalized in a way that it is redefining the traditional way of living and working. One of the main verticals that has the potential to grow due to the introduction of IoT is the industrial sector, which ranges from manufacturing, to smart mobility and logistics, forming a complete end-to-end supply chain, and representing about one half of the global economy. However, new functionalities will be needed to support next-generation automation, or wide area track-and-trace operations with enhanced scalability compared to current IoT systems. IoT is therefore called to evolve into more trusted and energy-efficient smart networks and infrastructures by leveraging thriving technologies, piloting and applying technologies such as tactile and cognitive sensors and actuators, trustworthy Distributed Ledger Technologies (DLT), decentralised edge architectures, or future cost-effective communi­cation systems based on Artificial Intelligence (AI) and Machine Learning (ML) to traditional supply chain. Under this paradigm, iNGENIOUS (Next-GENeration IoT sOlutions for the Universal Supply chain) will exploit some of the most innovative and emerging technologies in line with the standardised trend, contributing to the Next-Generation IoT, and proposing technical and business enablers to build a complete platform for supply chain management solutions. The project will bring to light a system-wide and global perspective that will pave the way for European parties to achieve a universal practical leadership capability.

Dr. Holger Arthaber

TU Vienna (Austria)

Spread-Spectrum based Ranging/Localization of UHF RFID Tags

Holger Arthaber was born 1975 in Vienna, Austria. He received his Dipl.-Ing. and Dr.techn. degree in electrical engineering from the TU Wien, Vienna, Austria in 2000 and 2004, respectively. In 2017 he received the Habilitation (venia docendi) for “Radio Frequency Engineering” from TU Wien. He started his academic career in the field of signal processing for mobile communication (antenna combining algorithms). In 2000 he changed to the Institute of Electrical Measurement and Circuit Design for researching in the field of efficient and linear RF power amplifiers with a focus on switched mode power amplifiers (SMPA) and related RF measurement systems. Further research topics of Holger Arthaber are RFID (radio frequency identification) systems and tag localization, microwave sensors, and antenna measurements. Since 2009 Holger Arthaber is the head of the Microwave Engineering Group at the Institute of Electrodynamics, Microwave and Circuit Engineering at TU Wien.

Webpage: http://www.emce.tuwien.ac.at/en/staff/arthaber.htm
ResearchGate: https://www.researchgate.net/profile/Holger-Arthaber
LinkedIn: https://www.linkedin.com/in/holger-arthaber-701b94113/

Abstract: Ranging/Localization of passive RFID labels is an enabler for a multitude of applications. Commonly used approaches like RSSI or angle-of-arrival (AoA) show limited accuracy due to the used signals’ narrowband nature and multipath propagation. The talk, therefore, introduces a new ranging concept, based on superimposing spread-spectrum signals to the legacy RFID communicon. After presenting the underlying math, the talk discusses regulatory requirements before showing initial measurement results. Additionally, an SDR-based hardware platform is shown, used to study the algorithm’s performance further. Finally, simulation and measurement results for both 1D-ranging and 2D-localization will be presented and the achievable accuracy is discussed.

Romain Zimmermann


A Low-Latency HIL Environment for Automotive Positioning, Navigation and Timing (PNT) Testing

Romain is a Product Manager and Business Developer for the positioning division of Spirent. He is particularly interested in the new PNT applications and challenges brought by the development of autonomous vehicles and 5G. While working with Spirent he has been closely involved with OEMs, suppliers and start-ups, helping them to enable the latest innovations in navigation thanks to cutting edge test equipment and services. Prior to his work at Spirent, Romain has been working in mobile telecommunications as a project/product manager for network equipment manufacturers such as Nokia and Ericsson, and for various service providers. Romain holds a MSc in Telecommunications Engineering from Telecom SudParis, in France.

LinkedIn: https://www.linkedin.com/in/romain-zimmermann-5b364931/

Abstract: To navigate accurately and safely, Autonomous Vehicles (AVs) use multiple sensors and PNT technologies, among them GNSS and inertial sensors. To achieve the performance and accuracy required by an AV, these PNT systems must be thoroughly tested. While different test methodologies coexist, restrictions on real-world location testing, the cost of drive testing, and the critical nature of safety considerations makes simulation an appealing choice. During this presentation, we will share insights into realistic GNSS testing within a Hardware-in-the-Loop (HIL) set-up for automotive applications. We will then introduce a unique approach to simulating GNSS multipath and obscuration based on a true to life synthetic environment. Finally, we will discuss how to enable coherent simulation of GNSS and IMUs to test sensor fusion algorithms in the lab.
Topics covered: Hardware-in-the-loop testing using a driving simulator, Testing PNT performance in multipath and obscuration environments, Testing automotive grade MEMs based Inertial Measurement Units (IMUs).

Ezer Bennour


Oscilloscope-based solutions for Radar applications: use cases and benefits

Ezer Bennour is a product manager within the oscilloscope subdivision at Rohde & Schwarz. His main focus is on RF applications for high-end oscilloscopes. Before joining Rohde & Schwarz in 2019, he had gained experience as an application engineer with a special focus on modular RF instruments. Ezer holds a diploma degree in electrical engineering and information technology from the University of Stuttgart in Germany.

Abstract: Modern radar architectures are showing a multitude of technological advancements that raise the need for more flexible testing approaches. Originally a pure analog domain, radar modules are getting more and more integrated and exhibit a variety of digital interfaces, especially with the extensive adoption of advanced Digital Signal Processing (DSP) techniques for a fast and accurate signal analysis. Furthermore, Sophisticated radar systems are increasingly relying on electronically steered phased array antennas. To characterize these types of systems, test equipment must exhibit multichannel capabilities and ensure that all channels are constantly phase-coherent.
When characterizing and debugging their designs, developers of such systems are often looking for versatile instruments that can handle both their RF and digital test requirements and thus reduce the test effort and costs. In this context, state-of-the-art oscilloscopes represent a good fit by combining powerful RF signal analysis capabilities with a large set of features for signal integrity and digital interface test.
During this presentation, we will cover the current trends and measurement challenges related to modern radar systems and explore how oscilloscope-based solutions can significantly help addressing these challenges.

Ing. Adam Pavliš

H TEST a.s.

Analysis of ultra-wideband signals - signal analyzer vs. oscilloscope

Abstract: High-frequency ultra-wideband signals used in the latest rf technologies place high demands on the measuring instrumentation used during the development, testing and calibration of the new products. Traditionally, rf signal analyzers (SA) developed originally from swept spectrum analyzers played a key role in this area. Modern SAs can have a multi-GHz analysis bandwidth and they can in most cases still offer the best accuracy and signal integrity. Latest higher-end oscilloscopes somewhat change this by offering similar capabilities with even higher bandwidths and the possibility of multi-channel measurements.
In this presentation, we would like to talk about the N9042B UXA - the latest and the best signal analyzer currently available from Keysight Technologies. This instrument was introduced recently along with the new external "RCal" receiver calibrator which brings quite a significant innovation to this area. It can be used on frequencies up to 110 GHz to increase the measurement accuracy and remove the influence of all external signal path components present between the input of the SA and the DUT.
Next, we would mention the UXR – Keysight’s (and world’s) fastest and most advanced oscilloscope. This instrument can be used both as a traditional oscilloscope for example for analysis of the latest high speed communication busses and also as a multichannel ultra-high bandwidth signal analyzer. This is possible thanks to the superb signal integrity of this instrument and the new functions like the DDC (digital down-conversion) which fastens up signal processing and increases the available signal capture length.